Guangyan Cai

Guangyan Cai

Ph.D. Candidate in Computer Science

University of California, Irvine


My name is Guangyan Cai (蔡广彦) and I am a fourth-year Ph.D. candidate in Computer Science at UC Irvine School of Information and Computer Science, advised by Prof. Shuang Zhao. I am interested in physics-based differentiable rendering and its applications, such as inverse rendering.

I received my B.S. degree in Computer Science from UC San Diego, where I worked with Prof. Ravi Ramamoorthi.

  • Ph.D. in Computer Science, 2020 - Present

    University of California, Irvine

  • B.S. in Computer Science, 2016 - 2020

    University of California, San Diego

Work Experience


Meta Reality Labs
Research Intern
Jun 2022 – Sep 2022 Redmond, WA
  • Investigated the baking artifacts in material reconstruction with inverse rendering and proposed a method to mitigate them.
  • Participated in building a hybrid pipeline that combines NeRF and physics-based differentiable rendering to do high quality 3D reconstruction.
  • Showcased our reconstruction results at Meta Connect 2022 (starting at 1:13:20).
  • Published our work at ICCV 2023 (see here).
Adobe Research
Research Intern
Jun 2023 – Sep 2023 San Jose, CA
  • Investigated geometric artifacts caused by specular highlights in 3D reconstruction and made promising progress.


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(2023). Neural-PBIR Reconstruction of Shape, Material, and Illumination. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Cite Project Paper

(2022). Physics-Based Inverse Rendering using Combined Implicit and Explicit Geometries. Computer Graphics Forum.

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(2021). Differentiable Time-Gated Rendering. ACM Trans. Graph..

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(2020). Analytic Spherical Harmonic Gradients for Real-Time Rendering with Many Polygonal Area Lights. ACM Trans. Graph..

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